modelpredicted
Modelpredicted denotes the output produced by applying a trained model to input data. It represents the model’s estimate of the response variable and is distinguished from the observed values used to fit the model.
In regression tasks, modelpredicted are continuous estimates y_hat = f(X; θ). In classification, they may be class labels
Predictions are computed by different model families: linear regression uses a weighted sum of features, neural
Modelpredicted values are used for forecasting, decision support, and evaluation. They are compared to observed data
Terminology varies: some authors use “fitted values” or “predicted values” interchangeably with modelpredicted; in software, labels